Jared Sprague-LottSS Lansing Lugnuts
Age 24 R/R 6'0" / 195 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035 peak 1.3 · 2029
wRC+†74
AVG/OBP/SLG.219 / .302 / .335
PA284
HR5
SB8
K%25
BB%9
MLB%0%
BAT: -8.3 runs (wOBA-derived runs vs avg)-8BATRUN: +1.4 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.0 runs (Positional adjustment)+3POSREP: +8.0 runs (Replacement-level credit)+8REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
3535
PWR
3030
SPD
4545
EYE
6660
trajectory · 10 yrs
1.3peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.2$11M+$10M
2031Arb-3$0.9M+1.1$10M+$9M
2032Ext / FA-deal$0.9M+0.9$4M+$3M
2033Ext / FA-deal$1M+0.7$3M+$2M
2034Ext / FA-deal$1M+0.4$2M+$0.7M
2035Ext / FA-deal$0.6M+0.1$0.5M-$0.1M
Totals $6M $31M +$25M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202523 AStockton Ports 331275 511005 45756 102 .185.313.276.589 .091.232 2314 .268 63 -14 +1 +0 +4 +9 0.0
▸ 2026 Season (actual · ROS · total)
202624 A+Lansing Lugnuts 5547 9201 6151 30 .191.296.298.594 .106.258 2711 .252 51 -3 +1 +0 +1 +2 -0.0
ROS24 MLBOAK 229202 44914 22573 51 .218.304.332.636 .114.278 2510 .289 80 -5 +1 +0 +2 +6 0.4
TOT24 MLBOAK 284249 531115 28724 81 .213.302.325.628 .112.277 2510 .282 74 -8 +1 +0 +3 +8 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%OAK 314275 621226 32684 61 .225.315.349.664 .124.272 2210 .301 88 -4 +1 +0 +3 +9 0.9
202826 MLB 25%OAK 369324 741428 38804 71 .228.317.358.675 .130.274 2210 .304 91 -4 +1 +0 +4 +10 1.2
202927 MLB 43%OAK 395347 791529 40865 71 .228.316.360.677 .133.275 2210 .305 92 -4 +1 +0 +4 +11 1.3
203028 MLB 52%OAK 409359 821629 42905 61 .228.318.359.677 .131.275 2210 .304 91 -4 +1 -1 +4 +12 1.2
203129 MLB 63%OAK 410360 811529 42915 60 .225.314.353.667 .128.274 2210 .302 90 -5 +1 -1 +4 +12 1.1
203230 MLB 73%OAK 408358 801529 42925 60 .223.314.352.666 .128.273 2310 .299 87 -6 +1 -2 +4 +12 0.9
203331 MLB 81%OAK 397348 771528 41915 50 .221.312.345.657 .124.271 2310 .295 84 -7 +1 -3 +4 +11 0.7
203432 MLB 88%OAK 381335 731427 39904 40 .218.307.334.641 .116.270 2410 .291 81 -8 +1 -4 +4 +11 0.4
203533 MLB 93%OAK 353310 651216 36854 40 .210.300.313.613 .103.268 2410 .285 77 -9 +1 -4 +4 +10 0.1
203634 MLBOAK 310272 561015 32783 40 .206.296.305.602 .099.266 2510 .279 72 -10 +1 -5 +3 +9 -0.2
203735 MLBOAK 258227 45814 26673 30 .198.289.295.584 .097.264 2610 .272 66 -10 +1 -6 +3 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 45643992 8691652089 477105056 737 .218.310.336.646 .118.271 2310 .293 83 -90 +12 -25 +49 +129 7.6
/ 162G 650569 12423313 681508 101 .218.311.337.648 .120.271 2310 .293 83 -13 +2 -4 +7 +18 1.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202523 AStockton Ports 331255 551106 65576 102 .216.387.329.716 .114.251 1720 .335 114 +5 +1 +9 1.6

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Jared Sprague-Lott (OGILVIE) 24 35 30 45 60 .219/.302/.335 .116.281 55 25% 9% 81 +0.2
Taylor Krick
2011 · A
23 43 39→30 48→40 49 .206/.285/.289 .084.266 77 24% 9% 62 -0.9 .224/.308/.287 .063.307 45 26% 8% 71 -0.3 .233/.323/.283.051.3262226%8%73-0.0
Dallas Carroll
2018 · A
24 47→35 45 46→45 46 .235/.293/.353 .118.283 139 22% 7% 81 +0.4 .192/.253/.274 .082.262 87 28% 7% 43 -2.2 .172/.233/.240.067.2346628%7%24-3.4
Luis Santana
2023 · A
24 44 45 48→50 42 .218/.280/.341 .124.281 1311 27% 6% 73 -0.1 .212/.267/.334 .122.269 147 26% 5% 66 -0.6 .195/.248/.310.116.24115525%5%48-1.0
Jackson Brennan
2007 · A
24 47→42 42→45 46→50 48 .223/.311/.332 .110.296 910 26% 9% 84 +0.6 .210/.302/.309 .099.287 810 28% 9% 75 -0.0 .195/.295/.281.087.27071028%9%63-0.4
Jacob Stallings
2014 · A
24 40→50 42→45 46→40 48 .195/.285/.304 .108.271 85 29% 10% 66 -0.6 .207/.266/.299 .092.289 75 29% 7% 56 -1.3 .251/.331/.384.134.30314021%10%98+0.8
Ronnie Richardson
2014 · A
24 44 42→40 48→50 45 .213/.275/.318 .106.281 88 26% 7% 64 -0.8 .216/.308/.313 .097.284 610 24% 9% 78 +0.2 .210/.315/.303.093.27751023%10%77+0.1
Jeferson Morales
2023 · A
24 39→46 46→45 49→50 44 .197/.277/.329 .131.260 149 29% 7% 69 -0.4 .215/.289/.346 .131.275 139 25% 7% 78 +0.2 .223/.298/.355.132.27712823%7%81+0.2
Renae Martinez
2018 · A
24 45→32 43→50 41→40 44 .225/.279/.334 .109.278 115 23% 6% 69 -0.4 .218/.277/.327 .109.287 113 27% 6% 68 -0.5 .193/.260/.302.109.26511230%7%51-0.9
Chadd Krist
2014 · A
24 43 42→40 43→45 47 .211/.283/.319 .108.273 96 25% 8% 69 -0.4 .191/.249/.289 .098.272 96 31% 6% 46 -2.0 .157/.206/.245.089.22910335%5%12-1.5
Anthony Seigler
2023 · A
24 40→39 43→45 46→55 54 .196/.296/.310 .114.268 911 28% 12% 72 -0.2 .198/.295/.313 .115.254 1119 24% 12% 72 -0.2 .200/.299/.321.122.247122723%12%74-0.1
Brett Harris
2022 · A
24 45→50 45 49→50 43 .220/.290/.339 .119.296 1211 29% 7% 76 +0.1 .239/.311/.381 .142.289 1610 22% 8% 96 +1.5 .236/.316/.369.133.28415922%8%91+0.9
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Alsander Womack
2023 · A
24 46→45 44→45 44→45 47 .230/.287/.337 .106.277 128 22% 7% 74 -0.1 .220/.284/.309 .089.277 98 23% 7% 66 -0.6 .211/.278/.285.074.2678823%7%54-0.8
Quincy McAfee
2022 · AA
24 43 43→45 48→45 49 .208/.299/.326 .118.272 1010 26% 9% 78 +0.2 .194/.278/.319 .125.257 148 29% 8% 67 -0.5 .179/.262/.309.130.22716828%7%55-0.8
Chris Denove
2006 · A
23 44 40 47→40 46 .212/.286/.304 .092.282 76 26% 8% 66 -0.6 .200/.260/.271 .071.268 44 25% 7% 46 -2.0 .245/.301/.340.096.2987319%6%79+0.1
Aaron McKeithan
2023 · A
23 45 40 45→40 44 .215/.290/.307 .093.291 84 28% 7% 69 -0.4 .217/.295/.297 .080.272 84 22% 7% 69 -0.4 .202/.287/.263.061.2448119%7%57-0.4
Greg Cullen
2021 · A
24 44→42 41→40 42→40 48 .215/.292/.315 .100.268 83 22% 8% 72 -0.2 .229/.319/.338 .109.306 114 26% 10% 89 +0.9 .232/.336/.332.100.31711427%12%91+0.4
Dusty Brown
2006 · A
24 43 45 45→30 45 .216/.279/.338 .121.284 135 28% 8% 71 -0.3 .216/.272/.333 .117.286 123 27% 7% 66 -0.6 .229/.292/.341.112.30912028%7%75-0.0
Terrin Vavra
2021 · A
24 46 43→45 47→50 48 .225/.280/.336 .112.266 1012 20% 7% 71 -0.3 .243/.318/.357 .114.316 911 24% 9% 92 +1.2 .258/.340/.368.110.33871124%9%100+0.6
Phil Clarke
2022 · A
24 46 42→40 45 46 .222/.295/.327 .105.277 94 22% 7% 76 +0.0 .222/.303/.315 .093.268 96 19% 8% 76 +0.1 .233/.317/.316.083.2668715%9%78+0.1